17971343. Adaptive Segmentation of Data Center Asset Telemetry Information simplified abstract (Dell Products L.P.)
Contents
- 1 Adaptive Segmentation of Data Center Asset Telemetry Information
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Adaptive Segmentation of Data Center Asset Telemetry Information - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Adaptive Segmentation of Data Center Asset Telemetry Information
Organization Name
Inventor(s)
Vijayasimha Reddy Naga of Georgetown TX (US)
Muralidhar Kolli of Round Rock TX (US)
Sudhir Vittal Shetty of Cedar Park TX (US)
Adaptive Segmentation of Data Center Asset Telemetry Information - A simplified explanation of the abstract
This abstract first appeared for US patent application 17971343 titled 'Adaptive Segmentation of Data Center Asset Telemetry Information
Simplified Explanation
The patent application describes a system, method, and computer-readable medium for performing a telemetry aggregation operation in a data center environment. This operation involves associating data center assets with asset groups based on telemetry response times, identifying aggregation cycle times, collecting telemetry information, and aggregating the information according to the cycle times.
- The system associates data center assets with asset groups based on telemetry response times.
- It identifies aggregation cycle times for the asset groups.
- Telemetry information is collected from the data center assets.
- The system aggregates the telemetry information based on the aggregation cycle times.
Potential Applications
This technology could be applied in various industries where monitoring and analyzing telemetry data from multiple assets is crucial, such as:
- Data centers
- Manufacturing facilities
- Energy plants
Problems Solved
This technology helps in:
- Efficiently managing and analyzing telemetry data from multiple assets
- Improving response times and performance of data center assets
- Streamlining data collection and aggregation processes
Benefits
The benefits of this technology include:
- Enhanced data center asset management
- Improved decision-making based on aggregated telemetry data
- Increased operational efficiency and performance optimization
Potential Commercial Applications
With its ability to streamline telemetry data aggregation processes, this technology could be valuable in commercial applications such as:
- Data center management software
- Industrial IoT solutions
- Energy management systems
Possible Prior Art
One possible prior art related to this technology is the use of telemetry data aggregation tools in network monitoring systems to analyze and optimize network performance.
Unanswered Questions
How does this technology ensure data security and privacy of telemetry information collected from data center assets?
This technology does not address the specific measures taken to secure and protect the telemetry data collected from data center assets.
What scalability options are available for this technology to handle a large number of data center assets and asset groups?
The patent application does not provide details on the scalability options or limitations of the system when dealing with a large volume of data center assets and asset groups.
Original Abstract Submitted
A system, method, and computer-readable medium for performing a telemetry aggregation operation. The telemetry aggregation operation includes: associating a data center asset from a plurality of data center assets with a data center asset group, the associating being based upon a telemetry information response time of the data center asset; identifying a telemetry aggregation cycle time for the data center asset group; collecting telemetry information from the data center asset of the plurality of data center assets; and, aggregating the telemetry information according to the telemetry aggregation cycle time.